This is an Inside Science story. As the sun rises over the island of American Samoa, a chorus of animal voices drifts upward. They're not the calls of birds, though -- the purrs, clicks and groans are coming from under the water. New research shows how automation can make it increasingly easy to eavesdrop on the fish making the sounds and uncover how their environment impacts them. Jill Munger first heard about fish that make sounds while she was an undergraduate student.
We love a good party as much as anyone. But the logistics of trying to get to know someone in a packed basement over blaring trap music while someone does body shots in the corner are a bit challenging. Dating apps are the saving grace of college students everywhere. Whether you're serious about finding someone or just looking for a quick hookup, you may not need to look further than the right app. At this point there are dating apps for every niche you can think of; whether you're into gaming, geek culture, getting high, or focusing on your career, there are people seeking the same things you are.
Online master's in electrical engineering programs prepare graduates for lucrative roles as electrical and electronic engineers. Many are designed for working professionals looking to advance their careers while earning full-time. Electrical engineering jobs focus on manufacturing and installing electrical power equipment, while electronics engineers design and develop electronic equipment. The U.S. Bureau of Labor Statistics reports a median annual salary for electrical engineers of $100,830 and $107,540 for electronics engineers. These professionals can specialize in aerospace, bioengineering, computer hardware, and more.
In the last couple of decades, technology has become very efficient at collecting information from the physical world, including wearable medical sensors, radar systems integrated into automobiles and satellites monitoring earth's climate--as well as from humans by monitoring the decisions they make. But that massive trove of data is mostly useless on its own; sophisticated computer algorithms are needed to find patterns, extract meaning and make predictions from the data. That's why the University of Wisconsin-Madison Department of Electrical and Computer Engineering launched the machine learning and data science option for both undergraduate electrical engineering and computer engineering majors. The option requires 18 elective credits in the 120-hour bachelor's degree consisting of courses focusing on machine learning and data science in engineering. Courses in the option cover coding for data manipulation, analysis, and visualization, and machine learning topics from applied linear algebra and probability through artificial neural networks and deep learning. When students graduate, the option is noted on their transcript, giving them a valuable credential in future employment searches.
Celebrated academic and thought leader in machine learning and AI research, UC Berkeley Distinguished Professor Michael I. Jordan, has been named laureate professor at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). He was also named honorary director of a new Laureate Faculty Programme, which he will help build with MBZUAI President, Professor Eric Xing. Jordan's appointment brings a wealth of experience to the university, and to the country, in artificial intelligence; in the interface of computer science and statistics; and in computational biology, natural language processing, and signal processing. He is a member of the US National Academy of Sciences, National Academy of Engineering, and Academy of Arts and Sciences, as well as a foreign member of the Royal Society. In 2016, he was cited by Science Magazine as the most influential author in computer science.
The School of Data Science [SDS] at UNC Charlotte is an interdisciplinary unit that is supported by the Academic Affairs' Office of the Provost, the College of Computing and Informatics, the Belk College of Business, the College of Health and Human Services, the College of Liberal Arts and Sciences, the William States Lee College of Engineering, as well as other academic units. SDS oversees two graduate programs in Health Informatics and Analytics [HIA] and Data Science and Business Analytics [DSBA] with over 300 students enrolled. A new undergraduate degree was launched in Spring 2021 and has quickly grown to nearly 100 majors. A Ph.D. program is in the planning stage. The vision of the School of Data Science is to become a leader in ethically grounded, interdisciplinary data science and artificial intelligence research and education that serves our diverse local and global community.
Project managers plan, develop, and oversee the personnel, budgets, timetables, and scopes of a project. By creating goals, maintaining communication, and defining individuals' responsibilities, project managers help optimize an organization's performance and outcomes. The Bureau of Labor Statistics projects that over 900,000 new positions in management occupations will be added from 2020 to 2030. Project management roles like construction manager and computer and information systems manager are projected to see an 11% growth during the same timeframe, which is faster than the national average growth rate for all occupations at 7%. Finding the right project management doctorate is important to meeting your personal and professional goals.
The Augusta Webster, MD, Office of Medical Education (AWOME) has begun introducing a new component of the medical education curriculum to current medical students: instruction in Digital Health and Data Science. The curriculum is being co-developed by David Liebovitz, MD, associate vice chair for clinical informatics in the Department of Medicine and co-director of the Center for Medical Education in Data Science and Digital Health, and Mahesh Vaidyanathan, MD, MBA, assistant professor of Anesthesiology. The utilization of large data sets and machine learning is rapidly growing in healthcare. Feinberg is proud to be at the forefront of preparing our students to not only utilize this technology in care delivery and research, but also to critically evaluate its applicability and limitations. I am confident that this curriculum will be the foundation for many of our students to become leaders in the field of data science and augmented intelligence in medicine." The new curriculum component will see students meeting several core competencies and learning outcomes while learning about the health data ecosystem; the health IT regulatory environment; data science methods and research; digital health decision support; bias, ethics and health equity; and the sociotechnical context for digital health and data science. Mahesh Vaidyanathan, MD, MBA, assistant professor of Anesthesiology, is a co-leader of Feinberg's new Digital Health and Data Science curriculum component for medical students. "The tools that data science brings to clinical care enable more effective and personalized care for our patients.
Imagine flying a small, robotic aircraft from goal post to goal post on an American football field. Now, repeat the flight 470 more times, and you'll match the record-setting 32-mile autonomous drone flight recorded by Aakash Sinha's industry-leading startup based in New Delhi. "It's only the beginning," said Sinha, a 2003 School of Computer Science graduate with a master's degree in robotics. "I'm super excited about how drones can change things, not just here in India but globally." From delivering vaccines in hard-to-reach areas to limiting fossil fuel leaks in expansive pipelines, the possibilities for positive change are endless.
We are seeking outstanding candidates with strong analytical and problem-solving skills, who are strong in written and oral communication (in English) and have documented experience in machine learning (in particular deep learning) and bioinformatics. Expertise in handling and understanding protein mass spectrometry data is an advantage, but not a requirement. The successful candidate will participate in independent research projects and assist in the supervision of undergraduate students. The selected candidate will develop a proof-of-concept framework for detecting antibody-derived peptide signatures in proteomics datasets. More specifically, the research project entails the analysis of millions of B-cell receptor sequences by machine learning to determine disease-specific antibody peptides that can be detected in proteomics datasets.